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All Journal Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Educate: Jurnal Ilmu Pendidikan dan Pengajaran Journal of Information Systems and Technology Research Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI Pascal: Journal of Computer Science and Informatics
Syahputra, Siswan
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Implementation Of Data Mining Grouping Of Old Age Guarantee (Jht) Based On Region In Pandemic Period tata, tatamustikadewi; Saragih, Rusmin; Syahputra, Siswan
Journal of Information Systems and Technology Research Vol. 1 No. 2 (2022): May 2022
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1273.664 KB) | DOI: 10.55537/jistr.v1i2.136

Abstract

During the COVID-19 pandemic, many companies experienced a decline or went bankrupt, so they had to reduce the number of workers and even close the company. BPJS Ketenagakerjaan is a public legal entity that is responsible to the president and functions to administer four programs, namely Work Accident Insurance (JKK), Death Insurance (JKM), Old Age Security (JHT), with the addition of the Pension Guarantee program ( JP). One of them is the submission of claims from too many participants of the Old Age Security program from various regions, especially the Langkat sub-district, so that it becomes a big problem to provide good service or information for the participants. For this reason, the author tries to create a system to support a computerized grouping process that can help automatically classify JHT claims by region, so there is an opportunity to design a grouping data mining system in it. Data mining is a process of mining data in very large amounts of data using statistical, mathematical methods, to utilize the latest artificial intelligence technology. Clustering is a method that is applied in creating a grouping data mining system to make it easier for employees to group JHT by region. Based on the analysis that has been done in the grouping of old-age insurance data using the clustering method, it is necessary to do the cluster process several times to get the same results according to the process that was first carried out, namely in cluster 1 : 2 3 2 cluster 2 : 2 8 2, cluster 3: 2 13 2 with 545 data in cluster 1, 308 data in cluster 2 and 421 data in cluster 3.
GROUPING THE DEVELOPMENT OF PRICES OF BUILDING STAPLES IN BINJAI CITY BASED ON THE TYPE OF GOODS USING THE CLUSTERING METHOD : (Case Study: BPS Kota Binjai) Nurmaya, Nurmaya; Novriyenni, Novriyenni; Syahputra, Siswan
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.129

Abstract

The development of basic commodity prices is essentially a physical development activity. Various kinds of resources are processed with the power of human resources. The longer the processing process, the greater the added value for humans and the greater the costs required. One of the most widely used methods in the clustering method is to use the K-Means algorithm. K-Means is a non-hierarchical (block) grouping method that seeks to partition data into clusters/groups so that data with the same characteristics will be included in the clustering method. in the same cluster and data with different characteristics are grouped into another group. From the 20 data obtained 3 groups, Cluster 1 has 7 data, Cluster 2 has 6 data, and Cluster 3 has 7 data. And the most group obtained is cluster 1 and cluster 3.Cluster 1 contains 7 data, namely types of bricks with a fixed price of IDR 200 per piece in 2020 South Binjai. Cluster 2 contains 6 data, namely types of bathtub items with a fixed price of IDR 75,000 in 2020 South Binjai. Cluster 3 contains 7 data, namely the type of emulsion paint with a fixed price of IDR 300,000 in 2020 South Binjai.
Implementasi Analisa Persediaan Barang Menggunakan Metode Apriori Pada Percetakan Indah Jaya Berbasis WEB Ananda, Aulia; Syahputra, Siswan; Arliana, Lina
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.190

Abstract

Percetakan adalah sebuah proses industri untuk memproduksi secara massal tulisan dan gambar, terutama dengan tinta di atas kertas menggunakan sebuah mesin cetak. Kegiatan percetakan ini bukan hanya masalah persediaan barang saja, namun menuntut sebuah sistem penempatan kerja yang akan membuat hasil transaksi dan persediaan menjadi lebih tersistematis dan komputerisasi. Dengan menggunakan metode apriori pada percetakan indah jaya berbasis web diharapakan untuk mengetahui persediaan barang di gudang dan mengetahui barang keluar dan masuk pada percetakanindah jaya.dalam perhitungan di dapatkan transaksi yang sering terjadi yaitu amplop dan kertas hvs. Maka dalam transaksi yang akan datanng akan dapat di analisi lebih baik.
OPTIMALISASI RUTE PENGANGKUTAN SAMPAH MENGGUNAKAN METODE TRAVELLING SALESMAN PROBLEM (STUDI KASUS DINAS LINGKUNGAN HIDUP KOTA BINJAI) Pratiwi, Annisa; Syahputra, Siswan; Arliana, Lina
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.192

Abstract

Sampah merupakan suatu permasalahan lingkungan yang tidak ada hentinya dan permasalahan dari sampah perlu dipikirkan dan ditanggulangi bersama. Rute pengangkutan sampah dari Tempat Pembuangan Sementara ke Tempat Pembuangan Akhir (TPA) selama ini masih kurang optimal karena terdapat beberapa rute dengan kendaraan yang mengangkut sampah tidak memaksimalkan kapasitas kendaraan. Penelitian ini bertujuan untuk menentukan rute optimal pengumpulan sampah di kota binjai dalam hal waktu dan biaya. Travelling Salesman Problem (TSP) digunakan untuk memodelkan masalah optimasi. Hasil analisis menunjukkan bahwa terjadi efisiensi pada waktu dan jarak pada rute yangdiusulkan sehingga menghemat 50,2 menit dan 0,9 km untuk setiap operasi layanan.
Sistem Pendukung Keputusan Dalam Menentukan Prioritas Pembangunan Antar Dusun Melalui Dana Desa di Desa Dalan Naman Menggunakan Metode AHP PA, Purnama Sari Br; Novreyenni, Novreyenni; Syahputra, Siswan
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.195

Abstract

Dana desa adalah dana APBN yang diperuntukkan bagi Desa yang ditransfer melalui APBD kabupaten/kota dan diprioritaskan untuk pelaksanaan pembangunan dan pemberdayaan masyarakat desa. Untuk menentukan prioritas dalam menyalurkan dana bantuan di Desa Dalan Naman membutuhkan sebuah sistem mengatasi keputusan dalam menentukan prioritas pembangunan antar dusun melalui dana desa di Desa Dalan Naman. Metode AHP (Analitic Hierarchy Process) merupakan metode yang dapat diuraikan ke dalam kelompok-kelompoknya yang kemudian diatur menjadi suatu bentuk hirarki sehingga permasalahan akan tampak lebih terstruktur dan sistematis. dan di dapatkan hasil berupa bahwa dusun I. Dusun I Dalan Naman dengan perancangan proyek pembanguanan yaitu Beton Penyangga Jalan Perladangan (Tanjakan Ladang Gurusisnga Kiri dan Kanan) mendapatkan nilai perangkingan 1 sebagai nilai pioritas dari pembangunan di Desa Dalan Naman.
Model Of Automatic Fire Fighting Simulation And Security System Based On Internet Of Things (IoT) And Cloud Computing In Cisco Packet Tracer Ginting, Emilia Br; Novriyenni, Novriyenni; Syahputra, Siswan
International Journal of Informatics, Economics, Management and Science Vol 4 No 1 (2025): IJIEMS (January 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v4i1.1616

Abstract

Fires often become disasters that can cause significant losses, both material and human lives. Fires can occur anywhere, including buildings, homes, and industries. During a fire, the risk of death or serious injury is also very high for people trapped inside a room, due to limited access to exit from the room where the fire occurs. Security is one of the most important aspects of life; everyone needs greater safety assurance regarding their home. In this research, the author employs system development and simulation methods, which allow researchers to reproduce complex environments and test system performance under various conditions without building actual physical infrastructure. Researchers have an idea to create a model and simulation of an automatic fire extinguisher and a security system based on IoT and cloud computing using Cisco Packet Tracer. The use of Cisco Packet Tracer as a simulator allows for the creation of IoT-based network simulation models to analyze the results of the simulations on the developed system, ensuring that the simulation results are accurate. The automatic fire extinguisher and security system simulation model yields positive results. When a fire is detected, the sprinkler system, alarm, and LCD provide information indicating a fire, while exit access such as doors and windows yield good simulation results. Additionally, the simulations for security systems for entrance security and rooms containing valuable items produce favorable simulation outcomes.
THE CERTAINTY FACTOR METHOD IN DISEASES OF THE SPINAL NERVES Liana Yuza, Iftitah; Sihombing, Marto; Syahputra, Siswan
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.162

Abstract

The spinal cord is a canal of the brain that runs from the neck to the coccyx. This nerve plays an important role in the process of sending signals from the brain to the rest of the body and vice versa. If this nerve is damaged, there will be interference with some body functions, such as the loss of the ability to move or feel things. Spinal cord patients should be treated immediately by a specialist doctor who deals with problems in neurological diseases. If treatment is not done immediately, the patient may need a longer recovery period. In addition, the possibility of worsening the condition or the appearance of complications will also be greater and some patients who experience diseases of the spinal nerves must undergo treatment or consultation with a doctor to follow up on the causes and symptoms they feel continuously. From the above problems, the authors want to create an application that can help patients to obtain information and make a temporary diagnosis through the application to be built. This application is useful to know the disease of the spinal cord in patients. From the research that has been done, the results of CF calculation with the highest value of 0.9857 or 98.57%, the system identifies that the patient is suffering from ischalgia.
Implementasi Algoritma C4.5 untuk memprediksi Penjualan Paket Internet Simanjorang, Armadani; Pardede, Akim M.H; Syahputra, Siswan
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6, Nomor 2, Edisi Oktober 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v6i2.4093

Abstract

Kebutuhan paket internet akan semakin meningkat seiring dengan perkembangan teknologi yang semakin pesat. Hal ini membuat perusahaan telekomunikasi seperti telkomsel menghadapi tantangan dalam memprediksi penjualan paket internet. Prediksi yang akurat dapat membantu perusahaan dalam menyusun strategi pemasaran dan penyediaan paket stok yang efektif. Penelitian ini dilakukan untuk memprediksi penjualan paket internet berdasarkan data penjualan dari PT. Golden Communication di kota Binjai. Preoses penelitian ini menggunakan algoritma C4.5 untuk membentuk pohon keputusan (Decision Tree) yang menghasilkan perhitungan entropy dan gain dari berbagai variabel seperti Paket, Harga, Masa Aktif dan Terjual. Hasil dari penelitian ini menunjukkan bahwa algoritma C4.5 mampu memprediksi penjualan paket internet menggunakan aplikasi RapidMiner dengan tingkat akurasi sebesar 94,5 % dengan 200 data pengujian. Berdasarkan analisis yang dilakukan faktor-faktor yang paling berpengaruh terhadap penjualan paket internet adalah masa aktif,paket dan harga. Paket dengan masa aktif yang lebih pendek dan harga yang lebih murah cenderung lebih diminati konsumen.
Penerapan Sistem Informasi Surat Keterangan Pendamping Ijazah STMIK Kaputama Secara Online Fauzie, Achmad; Syahputra, Siswan; Ferdillah, Tengku Didi; Restuono, Langgeng
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Many STMIK Kaputama academic information systems have been implemented for students, starting with the Academic information system, STMIK Kaputama online information system, library information system, financial information system, and other information systems. STMIK Kaputama does not yet have a Diploma Information System, or SKPI, as it is often called, although according to the Ministry's regulations, SKPI must be issued in Indonesia's public and private universities with the aim of helping graduates find jobs that match their qualifications. . That is why STMIK Kaputama has built an online information system on the Diploma Companion Certificate, the flow of which is structured according to learning achievements and validates files according to the competencies proposed by students. The existence of the SKPI electronic information system means that STMIK Kaputama developed the system and complied with the rules established by the ministry.
Diagnosis Of Malnutrition In Children Using The Dempster Shafer Method Br Sbt, Sri Devi; Fauzi, Achmad; Syahputra, Siswan
Pascal: Journal of Computer Science and Informatics Vol. 1 No. 02 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Malnutrition is a serious problem that can interfere with a child's physical growth, cognitive development, and general health. This study aims to develop a web-based expert system that is able to diagnose malnutrition in children using the Dempster Shafer method.Conventional methods in diagnosis often face challenges such as uncertainty and subjectivity, so a more accurate and efficient approach is needed. The Dempster Shafer method was chosen because of its ability to overcome uncertainty by combining various sources of information to produce a more precise diagnosis. This research was conducted at the Djoelham Regional General Hospital, Binjai City, with a focus on children aged 0-12 years. The expert system, which is designed using the PHP programming language and MySQL database, is expected to replace the role of an expert in providing initial diagnosis, making it easier for parents and health workers to take quick and appropriate actions. The results of this study show that the expert system developed is able to provide malnutrition diagnosis to children with good accuracy, so that it can be used as a tool in handling malnutrition problems more effectively.
Co-Authors Abdullah Hamid, Abdullah Achmad Fauzi Agung Kurniawan Alfhi Syari, Mili Ambarita, Indah Ananda, Aulia Anjani, Mutiara Dwi Annatasia, Kristina Annisa Pratiwi, Annisa Arliana, Lina Br Sbt, Sri Devi Buaton, Relita Fakhrurrozy Cahyadi, Muhammad Fauzi Ahmad Muda Fauzie, Achmad Ferdillah, Tengku Didi Ginting, Emilia Br Indriana, Nurita Khair, Husnul Khairul, Habib Kristina Annatasia Br Sitepu Kusuma Wardhani Langgeng Restuono Liana Yuza, Iftitah Melda Pita Uli Sitompul Muammar Khadafi Nikpani, Karen Novreyenni, Novreyenni Novriyenni, Novriyenni nurmaya, nurmaya PA, Purnama Sari Br Pardede, Akim Manaor Hara Pramana, I Gusti Ratih Puspadini Rusmin Saragih, Rusmin Selfira, Selfira Setyawan, Eka Hari Sihombing, Anton Sihombing, Marto Simanjorang, Armadani Simanjuntak, Magdalena Sinaga, Rio tata, tatamustikadewi Wardhani, Diah Wardhani, Diah Wardhani Yani Maulita